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anism between deep learning, symbolic cognition and local feature detection in vision processing. In Proc. of AC!-11, 2011. CPPG116. Ben Coertzel, Hugo Pinto, Cassio Pennachin, and Izabela Freire Coertzel. Using dependency pars- ing and probabilistic inference to extract relationships between genes, protei
ue to their involvement in the agent's activities, is because they had their LTI boosted at some point in the past. And after these Atoms leave the AttentionalFocus and their STI reduces, they will have boosted LTI and hence likely remain in RAM for a long while, to be involved in "background thought", and in c
asein Pennachin, and Rui Liu. Glocal memory: a design principle for artificial brains and minds. Neurocomputing, April 2010. CPPG06. Ben Goertzel, Hugo Pinto, easel° Pennachin, and Izabela Freire Goertzel. Using dependency pars- ing and probabilistic inference to extract relationships between genes, protei
r than simply assumed a priori. • Consciousness: CogPrime is not predicated on any particular conceptual theory of con- sciousness. Informally, the AttentionalFocus is sometimes referred to as the "conscious" mind of a CogPrime system, with the rest of the Atomspace as "unconscious" but this is just an informal
Cassio Pennachin, and Rui Liu. Glocal memory: a design principle for artificial brains and minds. Neurocomputing, April 2010. GPPGO06. Ben Goertzel, Hugo Pinto, Cassio Pennachin, and Izabela Freire Goertzel. Using dependency pars- ing and probabilistic inference to extract relationships between genes, protei
ther than simply assumed a priori. Consciousness: CogPrime is not predicated on any particular conceptual theory of con- sciousness. Informally, the AttentionalFocus is sometimes referred to as the “conscious” mind of a CogPrime system, with the rest of the Atomspace as “unconscious” but this is just an informal u
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